ACO5160 Introduction to accounting analytics
Faculty of Business and Economics
ACO5160 Introduction to accounting analytics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2027. It has no prerequisites.
- Credit points
- 6
- Offered in 2027
- Other periods
- Monash Online
- Assessment
- No exam
- 2 tasks
- Workload
- 144 hours
- per semester
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Requisites
Before ACO5160
No prerequisites or corequisites besides the enrolment rules below.
After ACO5160
No unit lists ACO5160 as a prerequisite in the 2027 handbook.
Enrolment rules
You must be enrolled in course A6032, B4008, B6025, B6028 or in a Monash Online course to undertake this unit.
Overview
This unit brings together accounting and data analytics that are integral to facilitating decision making. Learning centres on developing skills and expertise in data analytics for accounting and business intelligence. The unit will describe the data analytics cycle with the process practiced in accounting contexts. Through considering how big data, artificial intelligence and robotics are impacting and shaping accounting, financial reporting and auditing, you will develop skills in summarising findings and constructing visualisations that can be shared with stakeholders. In so doing, you will identify questions, download data, and perform testing using common business applications such as Excel and PowerBI, and communicate the results in a hands-on environment.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| Teaching period 2 | Monash Online | Mo |
| Teaching period 6 | Monash Online | Mo |
Assessment
- Written60%
- Written40%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
understand the basic characteristics of data in accounting, including audit data and data derived from financial statements
- 2
explain the role of data analytics in accounting and develop skills in using and analysing data to answer questions
- 3
use Power BI to construct visualisations and summaries of data that can be shared with stakeholders.
Workload and teaching
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Contacts
- Chief Examiners
- Dr Jacob Raleigh
Common questions
What are the prerequisites for ACO5160?
ACO5160 has no prerequisites, but enrolment rules apply.
When is ACO5160 offered?
ACO5160 has no offerings listed in the 2027 handbook.
How much work is ACO5160?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ACO5160 have an exam?
No. ACO5160 has 2 assessment tasks and no exam.